EP1510082A4 - Method and system for control of congestion in cdma systems - Google Patents

Method and system for control of congestion in cdma systems

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Publication number
EP1510082A4
EP1510082A4 EP03731197A EP03731197A EP1510082A4 EP 1510082 A4 EP1510082 A4 EP 1510082A4 EP 03731197 A EP03731197 A EP 03731197A EP 03731197 A EP03731197 A EP 03731197A EP 1510082 A4 EP1510082 A4 EP 1510082A4
Authority
EP
European Patent Office
Prior art keywords
congestion
noise
interference
user
noise rise
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
EP03731197A
Other languages
German (de)
French (fr)
Other versions
EP1510082A1 (en
EP1510082B1 (en
Inventor
Juan Carlos Zuniga
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
InterDigital Technology Corp
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InterDigital Technology Corp
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Filing date
Publication date
Application filed by InterDigital Technology Corp filed Critical InterDigital Technology Corp
Priority to EP06120463A priority Critical patent/EP1727388B1/en
Priority to EP09155047A priority patent/EP2063564A1/en
Publication of EP1510082A1 publication Critical patent/EP1510082A1/en
Publication of EP1510082A4 publication Critical patent/EP1510082A4/en
Application granted granted Critical
Publication of EP1510082B1 publication Critical patent/EP1510082B1/en
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/02—Resource partitioning among network components, e.g. reuse partitioning
    • H04W16/04—Traffic adaptive resource partitioning
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/309—Measuring or estimating channel quality parameters
    • H04B17/345—Interference values
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0002—Systems modifying transmission characteristics according to link quality, e.g. power backoff by adapting the transmission rate
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H04W28/0284—Traffic management, e.g. flow control or congestion control detecting congestion or overload during communication
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H04W28/08—Load balancing or load distribution
    • H04W28/09—Management thereof
    • H04W28/0925—Management thereof using policies
    • H04W28/0942—Management thereof using policies based on measured or predicted load of entities- or links
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H04W28/10—Flow control between communication endpoints
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W48/00—Access restriction; Network selection; Access point selection
    • H04W48/02—Access restriction performed under specific conditions
    • H04W48/06—Access restriction performed under specific conditions based on traffic conditions
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/69—Spread spectrum techniques
    • H04B1/707—Spread spectrum techniques using direct sequence modulation
    • H04B1/7097—Interference-related aspects
    • H04B1/7103—Interference-related aspects the interference being multiple access interference
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0015—Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the adaptation strategy
    • H04L1/0017—Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the adaptation strategy where the mode-switching is based on Quality of Service requirement
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/50—Reducing energy consumption in communication networks in wire-line communication networks, e.g. low power modes or reduced link rate

Definitions

  • the present invention relates to code division multiple access
  • CDMA compact Code Division Multiple Access
  • MIMO multi-user detection
  • UL uplink
  • the interference caused by a CDMA system is made up of intra-cell interference and inter-cell interference.
  • Intra-cell interference is interference generated in a cell that is occupied by a user.
  • Inter- cell interference in contrast, is interference generated from all sources outside of the cell in which the user is located.
  • the pole capacity is the theoretical maximum capacity assuming the mobiles have infinite available transmitting power. The actual capacity is typically a fraction of the pole capacity.
  • the present invention includes a method and system for monitoring and controlling congestion in the uplink (UL) based on User Equipment (UE) measurements or Radio Access Network (RAN) measurements for code division multiple access (CDMA) systems having multi-user detection (MUD) capabilities.
  • UE User Equipment
  • RAN Radio Access Network
  • CDMA code division multiple access
  • Figure 1 is a flow diagram showing a method for monitoring congestion in the UL based on UE measurements for CDMA systems having
  • Figure 2 is a flow diagram showing a method for monitoring congestion in the UL based on RAN measurements for CDMA systems having
  • Figure 3 is a flow diagram showing a method for relieving congestion in accordance with an embodiment of the invention.
  • Figure 4 is a system for monitoring and controlling congestion in the
  • Figure 5 is a system for monitoring and controlling congestion in the
  • the pole capacity of regular CDMA systems i.e. CDMA systems not having MUD capabilities, can be determined by measuring the noise rise, which is the ratio of the total perceived interference to noise floor:
  • Equation (1) where the total perceived interference is all non-cancelled interference (both intra-cell and inter-cell) at the receiver, the noise floor is all noise that is unrelated to the system such as the thermal noise, and ⁇ uL is the UL load factor.
  • the MUD reduces intra- cell interference (I 0 r) and amplifies inter-cell interference (loc). Therefore, to accurately measure noise rise in CDMA systems having MUD capabilities, the ⁇ uL should account for the affect the MUD has on interference. [0017] To specifically account for the affect of the MUD, two parameters
  • the first parameter, XUL represents the average ratio of the cancelled r to the total I or and is used to account for the decrease in lor.
  • the second parameter, ⁇ UL represents the average ratio of received extra Lc to the total Lc and is used to account for the increase in Lc.
  • the parameters O.UL and ⁇ UL may be measured, calculated or assumed, as desired.
  • MUD is (l-c uL)Ior + (1 + ⁇ ⁇ UL )loc.
  • congestion detection is based on UE measurements.
  • UE measurements with respect to interference generated by the system, are limited to Ior. Therefore, to also account for Lc, ⁇ uL is obtained according to:
  • Equation (2) where i is a predetermined value representing a ratio of loc to Ior and the sum represents Ior.
  • N is the number of users in the cell; W is the carrier bandwidth; and ⁇ j, Rj and Vj are the signal-to-noise ratio (Eb No) bit rate, and activity factor of the j* user, respectively.
  • Equation 1 when ⁇ uL tends to one, noise rise tends to infinity.
  • noise rise is obtained according to:
  • Equation (3) [0020] In Figure 1, steps for monitoring congestion in the UL based on UE measurements in a CDMA system having MUD capabilities are shown and indicated generally with reference number 10.
  • step 12 by calculating the UL load factor
  • Equation 3 is preferably used to calculate the noise rise, as also explained above.
  • the value of noise rise is proportional to congestion and is therefore evaluated in step 16 to determine whether congestion relieving measures should be implemented. If the value of noise rise is above a predetermined value, congestion relieving measures are implemented (step 18).
  • the predetermined value of noise rise that is selected for triggering the congestion relieving measures may be any value. By way of example, in one embodiment, the predetermined value is between about 6 ⁇ IB and about 10dB.
  • the method may start over at step 12.
  • the method may start over at step 12 at a predetermined time interval.
  • the predetermined time interval may be any amount of time, as desired.
  • the time interval is between about 3 seconds to about 5 seconds.
  • UL congestion detection may be based on RAN measurements.
  • both Lc and Lr and both ctvL and ⁇ UL may be defined by reading measurements available at the base station (BS). Therefore, in contrast to the first embodiment, ⁇ uL and noise rise may be calculated without using a predetermined value to obtain Lc.
  • V UL 1 " ,. , ,, , — Equation (5)
  • step 52 is to measure the noise floor.
  • step 54 to calculate ⁇ uL preferably according to Equation 5, as explained above, where Lc,
  • Lr, auL and ⁇ UL are defined by reading measurements available at the BS.
  • the ratio am may be calculated according to:
  • ⁇ UL is considered negligible thereby eliminating the need to for it to be read from the BS receiver.
  • the additional parameters shown in Equation 7 are identified and defined from measurements taken at the BS receiver.
  • the additional parameters included in Equation 7 are Received Code Power for User i (Rx_Code_Power t ), Spreading Factor for User i (SF t ), and Number of Active Codes in the Timeslot (M).
  • Rx_Code_Power t Received Code Power for User i
  • SF t Spreading Factor for User i
  • M Number of Active Codes in the Timeslot
  • the method may start over at step 52 at a predetermined time interval.
  • the predetermined values of noise rise and time interval may be any values, as desired.
  • the implementation of congestion relieving measures may be accomplished in a variety of ways. For example, the signal-to-noise ratio (Eb/No) target of certain users can be reduced thereby forcing those users to reduce their transmission power.
  • Eb/No signal-to-noise ratio
  • a preferred method for relieving congestion is to reduce the data transmission rate of a particular user or users. Users determine their transmission power depending on the data transmission rate, spreading factor gain and maximum transmission power and path loss. Therefore, reducing the data transmission rate of a particular user, which implicitly reduces power, allows the same signal-to-noise ratio to be achieved with the same spreading gain, but with less power. Furthermore, in WCDMA TDD systems, reducing the data transmission rate implies that a certain user is not transmitting at all in a timeslot thereby providing the additional benefit of relieving congestion for that timeslot.
  • the preferred method for relieving congestion limits data transmission rate at the source; therefore no retransmissions are required.
  • the selection of the user or users to whom the rates will be reduced is made by considering the transmitted power, received power and class of service. Those factors are considered for each user and may be considered individually, collectively or as a particular combination thereof, as desired.
  • the user or users that contribute the most to the interference and have the lowest service class priority are preferably chosen as candidates for data rate reduction.
  • the preferred method for relieving congestion is shown in Figure 3 and indicated generally with reference numeral 100. To begin, transmission , power, received power and class of service are determined for each user in steps 102, 104 and 106, respectively. Then, in step 108, each user's contribution to noise rise is calculated. As explained, noise rise may be calculated according to Equation 3 or Equation 6, as desired.
  • step 110 the user that collectively contributes the most to the noise rise and has the lowest service priority is selected.
  • a predetermined weighting factor may be used for each parameter. It is important to note that any value may be used for the weighting factor so that the influence of priority and noise contribution in selecting a user may be adjusted as desired. Furthermore it may desirable to use only one of those parameters or, alternatively, it may be desirable to use additional parameters which, like noise contribution and priority, may be weighted as desired.
  • the criteria for selecting a user is completely flexible and may be any criteria which accurately identifies users having data transmission rates that may be reduced so as to reduce congestion. Therefore, the selected user may, for example, be determined according to:
  • step 112 the data transmission rate of the selected user is reduced.
  • step 113 the amount of congestion is evaluated to determine whether congestion has been relieved. If the corresponding reduction in the noise rise is sufficient to reduce the value of noise rise below the predetermined value at which congestion is detected, the method ends and congestion monitoring, as described in conjunction with Figures 1 and 2, may continue (step 114). Alternatively, if the congestion has not been relieved so that the value of noise rise is below the predetermined value, congestion still exists and the method 100 returns to step 110 or 102, as desired, and continues until the congestion is relieved.
  • a system 200 for controlling congestion in the UL based on UE measurements.
  • congestion in the UL is monitored and controlled using UE measurements.
  • the system 200 comprises at least one UE 202, a BS or node-B 214 and a radio network controller 210.
  • the UE comprises a receiver 203 having MUD capabilities, an Lr measuring device 204 and an Lr signaling device 206.
  • the Lr measuring device 204 utilizes information available at the UE 202 to measure the amount of interference generated by the system within the cell in which the UE 202 is currently located. As previously explained, that type of interference is referred to as intra-cell interference (Tor).
  • Tor intra-cell interference
  • the BS or node-B 214 includes a receiver 205 having a MUD and an
  • the Lr measured by measuring device 204 is transmitted from the Lr signaling device 206 of the UE 202 to the Lr signal receiver 208 of the BS or node-B 214.
  • the BS or node-B 214 communicates the Ior to a radio network controller (RNC) 210 comprising a radio resource management (RRM) device 212.
  • RNC radio network controller
  • RRM radio resource management
  • the RRM 212 in conjunction with the BS or node-B 214, if needed, processes Ior so that the total inference, as affected by the MUD(s) 203, 205, may be obtained.
  • the total interference may be obtained using Lr, otuL, ⁇ UL and i.
  • ⁇ uL and noise rise is also obtained. If the noise rise is above a predetermined value, each users' contribution to the noise rise is measured. Preferably, each users' transmission power, received power and class of service is also measured. The data transmission rate of the user currently having the highest contribution to noise rise and the lowest class of service is reduced as needed until the overall noise rise falls below the predetermined value. In other words, if reducing the data transmission rate of what was the highest contributor to noise rise is not sufficient to reduce noise rise to below the predetermined value, the method continues by recalculating each users' noise rise contribution and reducing the data transmission rate of the highest contributor. Alternatively, the method may continue by using the current user calculations and simply reduce the rate of the next highest contributor.
  • FIG. 5 another embodiment of a system for controlling congestion in the UL is shown and indicated generally with reference numeral 300.
  • system 300 congestion in the UL is monitored and controlled using RAN measurements.
  • the system 300 comprises at least one UE 301, a BS or node-B 306 and a RNC 308.
  • the UE 301 comprises a receiver 303 having MUD capabilities.
  • BS or node-B 306 includes a receiver 305 having MUD capabilities, an Lr measuring device 302 an an Lc measuring device 304.
  • the BS or node-B 306 communicates the Lr and Lc to a radio network controller (RNC) 308 comprising a radio resource management (RRM) device 310.
  • RNC radio network controller
  • RRM radio resource management
  • the RRM 310 in conjunction with the BS or node-B 306, if needed, processes Lr and Lc so that the total interference, as affected by the MUD(s) 303, 305, may be obtained.
  • the total interference may be obtained using Lr, Lc, OLUL , and ⁇ UL . [0040] Once the total interference is obtained, ⁇ uL and noise rise is also obtained.
  • each users' contribution to the noise rise is measured.
  • each users' transmission power, received power and class of service is also measured. The data transmission rate of the user currently having the highest contribution to noise rise and the lowest class of service is reduced as needed until the overall noise rise falls below the predetermined value, as explained in connection with Figure 4.

Abstract

The present invention is a method and system for monitoring and controlling congestion in a CDMA system having multi-user detection capabilities. The method detects congestion in the uplink by calculating noise rise based on user equipment measurements or radio access network measurements. Upon detection of congestion, congestion relieving measures are implemented as needed.

Description

[0001] METHOD AND SYSTEM FOR CONTROL
OF CONGESTION IN CDMA SYSTEMS
[0002] BACKGROUND
[0003] The present invention relates to code division multiple access
(CDMA) systems with multi-user detection (MUD) capabilities, where the capacity of the system is limited by non-cancelled intra-cell interference, non- cancelled inter-cell interference and interference associate with the noise floor. [0004] In CDMA systems, one of the factors that limits the capacity of the system is interference. In general, these systems try to generate as little interference as possible. Power control is one approach that is commonly used in order to maintain the interference limits as low as possible. Nevertheless, when a CDMA system attempts to support many users, even if the transmission power is being controlled, the levels of interference may not be acceptable. [0005] The concept of CDMA uplink (UL) pole capacity has been widely used for evaluating when a system is becoming congested. This concept is based on the exponential growth of interference caused by a CDMA system, i.e. all interference above the noise floor. The interference caused by a CDMA system is made up of intra-cell interference and inter-cell interference. Intra-cell interference is interference generated in a cell that is occupied by a user. Inter- cell interference, in contrast, is interference generated from all sources outside of the cell in which the user is located. The pole capacity is the theoretical maximum capacity assuming the mobiles have infinite available transmitting power. The actual capacity is typically a fraction of the pole capacity. Although the concept generally applies to any point-to-multipoint CDMA system, the use of a MUD in the receiver that cancels some of the intra-cell interference varies the principle on which the concept is based thereby rendering the concept not applicable.
[0006] A method is therefore needed for evaluating congestion in CDMA systems having MUD capabilities. [0007] SUMMARY
[0008] The present invention includes a method and system for monitoring and controlling congestion in the uplink (UL) based on User Equipment (UE) measurements or Radio Access Network (RAN) measurements for code division multiple access (CDMA) systems having multi-user detection (MUD) capabilities.
[0009] BRIEF DESCRIPTION OF THE DRAWINGS
[0010] Figure 1 is a flow diagram showing a method for monitoring congestion in the UL based on UE measurements for CDMA systems having
MUD capabilities in accordance with an embodiment of the invention.
[0011] Figure 2 is a flow diagram showing a method for monitoring congestion in the UL based on RAN measurements for CDMA systems having
MUD capabilities in accordance with an embodiment of the invention.
[0012] Figure 3 is a flow diagram showing a method for relieving congestion in accordance with an embodiment of the invention.
[0013] Figure 4 is a system for monitoring and controlling congestion in the
UL based on UE measurements in accordance with an embodiment of the invention.
[0014] Figure 5 is a system for monitoring and controlling congestion in the
UL based on RAN measurements in accordance with the invention.
[0015] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT(S) [0016] For uplink (UL) congestion detection based on UE measurements, the pole capacity of regular CDMA systems, i.e. CDMA systems not having MUD capabilities, can be determined by measuring the noise rise, which is the ratio of the total perceived interference to noise floor:
-r . . total _perceived_ interference Noise rιse = noise _ floor 1 _?7
Equation (1) where the total perceived interference is all non-cancelled interference (both intra-cell and inter-cell) at the receiver, the noise floor is all noise that is unrelated to the system such as the thermal noise, and ηuL is the UL load factor. In CDMA systems having MUD capabilities, however, the MUD reduces intra- cell interference (I0r) and amplifies inter-cell interference (loc). Therefore, to accurately measure noise rise in CDMA systems having MUD capabilities, the ηuL should account for the affect the MUD has on interference. [0017] To specifically account for the affect of the MUD, two parameters
(one to account for the decrease in Ior and one to account for the increase in e) are defined and incorporated into ηuL. The first parameter, XUL , represents the average ratio of the cancelled r to the total Ior and is used to account for the decrease in lor. The second parameter, βUL, represents the average ratio of received extra Lc to the total Lc and is used to account for the increase in Lc. The parameters O.UL and βUL may be measured, calculated or assumed, as desired.
Using lor, e, m and βUL, the total perceived interference as affected by the
MUD is (l-c uL)Ior + (1 + ~βUL)loc.
[0018] In a first embodiment of the invention, congestion detection is based on UE measurements. UE measurements, however, with respect to interference generated by the system, are limited to Ior. Therefore, to also account for Lc, ηuL is obtained according to:
Equation (2) where i is a predetermined value representing a ratio of loc to Ior and the sum represents Ior. In the sum, N is the number of users in the cell; W is the carrier bandwidth; and βj, Rj and Vj are the signal-to-noise ratio (Eb No) bit rate, and activity factor of the j* user, respectively. Multiplying Ior by (1+t) gives [Lr + Ior(i)] where Ior(i) = loc thereby allowing both intra-cell and inter-cell interference to be accounted for in ηuL. As can be seen from Equation 1, when ηuL tends to one, noise rise tends to infinity.
[0019] Once ηuL is calculated, noise rise is obtained according to:
Noise _ risedB =
Equation (3) [0020] In Figure 1, steps for monitoring congestion in the UL based on UE measurements in a CDMA system having MUD capabilities are shown and indicated generally with reference number 10.
[0021] The method begins with step 12 by calculating the UL load factor
(ηuL) preferably using equation 2, as explained above. In step 14, Equation 3 is preferably used to calculate the noise rise, as also explained above. The value of noise rise is proportional to congestion and is therefore evaluated in step 16 to determine whether congestion relieving measures should be implemented. If the value of noise rise is above a predetermined value, congestion relieving measures are implemented (step 18). The predetermined value of noise rise that is selected for triggering the congestion relieving measures may be any value. By way of example, in one embodiment, the predetermined value is between about 6<IB and about 10dB.
[0022] If, in contrast, the value of nose rise is below the predetermined value, the method may start over at step 12. The method may start over at step 12 at a predetermined time interval. The predetermined time interval may be any amount of time, as desired. By way of example, in one embodiment, the time interval is between about 3 seconds to about 5 seconds.
[0023] In another embodiment of the invention, UL congestion detection may be based on RAN measurements. In this embodiment, both Lc and Lr and both ctvL and βUL may be defined by reading measurements available at the base station (BS). Therefore, in contrast to the first embodiment, ηuL and noise rise may be calculated without using a predetermined value to obtain Lc. [0024] More specifically, ηuL is obtained according to: noise _ floor __. , . . .. ηUL =l- — — . - . Equation (4) totaι_ perceιυea_ιnterference where the noise floor is again all noise that is not related to the system and the total perceived interference comprises all non-cancelled interference at the receiver. Since the elements needed to calculate total perceived power are known, the total perceived power may be calculated according to
(1 - a,vh)lor + (1 + βυL)Ioc thereby allowing ηuL to be calculated according to:
Λ noise _ floor --. , . _.
VUL = 1 " ,. , ,, , , — Equation (5)
(l + βUL)Ioc + (l-aUL)Ior
Once ηuL is obtained, the effective noise rise is obtained according to:
Noise _ risedB Equation (6)
[0025] In Figure 2, steps for measuring and avoiding congestion in the UL based on RAN measurements in a CDMA system having MUD capabilities are shown and indicated generally with reference number 50. [0026] The first step 52, is to measure the noise floor. Then, in step 54, to calculate ηuL preferably according to Equation 5, as explained above, where Lc,
Lr, auL and βUL are defined by reading measurements available at the BS. In an alternate embodiment, however, the ratio am may be calculated according to:
M (Rx _ code _ power t • SE, ) / SIR , - Ioct
(total _ perceived _ interferen ce — Ioct) - Rx _ code _ power l
O VL = • Equation (
M
In that embodiment, βUL is considered negligible thereby eliminating the need to for it to be read from the BS receiver. The additional parameters shown in Equation 7 are identified and defined from measurements taken at the BS receiver. By way of explanation, the additional parameters included in Equation 7 are Received Code Power for User i (Rx_Code_Powert), Spreading Factor for User i (SFt), and Number of Active Codes in the Timeslot (M). [0027] Once ηuL is obtained, noise rise is calculated according to Equation 6 in step 56. As with the embodiment shown in Figure 1, the value of noise rise is proportional to congestion. Therefore, the value of noise rise is evaluated in step 58 to determine whether congestion relieving measures should be implemented. If the value of noise rise is above a predetermined value, congestion relieving measures are implemented (step 60). Alternatively, if the value of noise rise is below the predetermined value, the method may start over at step 52 at a predetermined time interval. As with the embodiment described in conjunction with Figure 1, the predetermined values of noise rise and time interval may be any values, as desired.
[0028] The implementation of congestion relieving measures may be accomplished in a variety of ways. For example, the signal-to-noise ratio (Eb/No) target of certain users can be reduced thereby forcing those users to reduce their transmission power. A drawback of this approach, however, is that those users will experience errors in the information transmitted and the quality of the link is greatly reduced.
[0029] A preferred method for relieving congestion is to reduce the data transmission rate of a particular user or users. Users determine their transmission power depending on the data transmission rate, spreading factor gain and maximum transmission power and path loss. Therefore, reducing the data transmission rate of a particular user, which implicitly reduces power, allows the same signal-to-noise ratio to be achieved with the same spreading gain, but with less power. Furthermore, in WCDMA TDD systems, reducing the data transmission rate implies that a certain user is not transmitting at all in a timeslot thereby providing the additional benefit of relieving congestion for that timeslot.
[0030] The preferred method for relieving congestion limits data transmission rate at the source; therefore no retransmissions are required. The selection of the user or users to whom the rates will be reduced is made by considering the transmitted power, received power and class of service. Those factors are considered for each user and may be considered individually, collectively or as a particular combination thereof, as desired. The user or users that contribute the most to the interference and have the lowest service class priority are preferably chosen as candidates for data rate reduction. [0031] The preferred method for relieving congestion is shown in Figure 3 and indicated generally with reference numeral 100. To begin, transmission , power, received power and class of service are determined for each user in steps 102, 104 and 106, respectively. Then, in step 108, each user's contribution to noise rise is calculated. As explained, noise rise may be calculated according to Equation 3 or Equation 6, as desired.
[0032] In step 110, the user that collectively contributes the most to the noise rise and has the lowest service priority is selected. To determine the selected user, a predetermined weighting factor may be used for each parameter. It is important to note that any value may be used for the weighting factor so that the influence of priority and noise contribution in selecting a user may be adjusted as desired. Furthermore it may desirable to use only one of those parameters or, alternatively, it may be desirable to use additional parameters which, like noise contribution and priority, may be weighted as desired. The criteria for selecting a user is completely flexible and may be any criteria which accurately identifies users having data transmission rates that may be reduced so as to reduce congestion. Therefore, the selected user may, for example, be determined according to:
User_selected = Wl(priority) + W2(noise contribution). Equation®
[0033] In step 112, the data transmission rate of the selected user is reduced. In step 113, the amount of congestion is evaluated to determine whether congestion has been relieved. If the corresponding reduction in the noise rise is sufficient to reduce the value of noise rise below the predetermined value at which congestion is detected, the method ends and congestion monitoring, as described in conjunction with Figures 1 and 2, may continue (step 114). Alternatively, if the congestion has not been relieved so that the value of noise rise is below the predetermined value, congestion still exists and the method 100 returns to step 110 or 102, as desired, and continues until the congestion is relieved.
[0034] Referring now to Figure 4, a system 200 is shown for controlling congestion in the UL based on UE measurements. In system 200, congestion in the UL is monitored and controlled using UE measurements. The system 200 comprises at least one UE 202, a BS or node-B 214 and a radio network controller 210.
[0035] The UE comprises a receiver 203 having MUD capabilities, an Lr measuring device 204 and an Lr signaling device 206. The Lr measuring device 204 utilizes information available at the UE 202 to measure the amount of interference generated by the system within the cell in which the UE 202 is currently located. As previously explained, that type of interference is referred to as intra-cell interference (Tor).
[0036] The BS or node-B 214 includes a receiver 205 having a MUD and an
Lr signal receiver 208. The Lr measured by measuring device 204 is transmitted from the Lr signaling device 206 of the UE 202 to the Lr signal receiver 208 of the BS or node-B 214. The BS or node-B 214 communicates the Ior to a radio network controller (RNC) 210 comprising a radio resource management (RRM) device 212. The RRM 212, in conjunction with the BS or node-B 214, if needed, processes Ior so that the total inference, as affected by the MUD(s) 203, 205, may be obtained. As explained above, the total interference may be obtained using Lr, otuL, βUL and i.
[0037] Once the total interference is obtained, ηuL and noise rise is also obtained. If the noise rise is above a predetermined value, each users' contribution to the noise rise is measured. Preferably, each users' transmission power, received power and class of service is also measured. The data transmission rate of the user currently having the highest contribution to noise rise and the lowest class of service is reduced as needed until the overall noise rise falls below the predetermined value. In other words, if reducing the data transmission rate of what was the highest contributor to noise rise is not sufficient to reduce noise rise to below the predetermined value, the method continues by recalculating each users' noise rise contribution and reducing the data transmission rate of the highest contributor. Alternatively, the method may continue by using the current user calculations and simply reduce the rate of the next highest contributor.
[0038] In Figure 5, another embodiment of a system for controlling congestion in the UL is shown and indicated generally with reference numeral 300. In system 300, congestion in the UL is monitored and controlled using RAN measurements. The system 300 comprises at least one UE 301, a BS or node-B 306 and a RNC 308.
[0039] The UE 301 comprises a receiver 303 having MUD capabilities. The
BS or node-B 306 includes a receiver 305 having MUD capabilities, an Lr measuring device 302 an an Lc measuring device 304. The BS or node-B 306 communicates the Lr and Lc to a radio network controller (RNC) 308 comprising a radio resource management (RRM) device 310. The RRM 310, in conjunction with the BS or node-B 306, if needed, processes Lr and Lc so that the total interference, as affected by the MUD(s) 303, 305, may be obtained. As explained above, the total interference may be obtained using Lr, Lc, OLUL , and βUL . [0040] Once the total interference is obtained, ηuL and noise rise is also obtained. If the noise rise is above a predetermined value, each users' contribution to the noise rise is measured. Preferably, each users' transmission power, received power and class of service is also measured. The data transmission rate of the user currently having the highest contribution to noise rise and the lowest class of service is reduced as needed until the overall noise rise falls below the predetermined value, as explained in connection with Figure 4.
[0041] Although the present invention has been described in detail, it is to be understood that the invention is not limited thereto, and that various changes can be made therein without departing from the spirit and scope of the invention, which is defined by the attached claims.
EP03731197A 2002-05-24 2003-05-15 Method and system for control of congestion in cdma systems Expired - Lifetime EP1510082B1 (en)

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